What problem does it solve? Payment fraud costs e-commerce merchants 2–3% of revenue through chargebacks, lost goods, and dispute fees. This Skill helps you layer fraud defenses — platform-native risk scoring, 3D Secure authentication, Redis-backed velocity checks, and manual review queues — so suspicious orders are blocked or held before fulfillment. ## Core Features & Use Cases - Platform-Specific Fraud Setup: Configure fraud tools for Shopify (Fraud Analysis, Signifyd), WooCommerce (Stripe Radar, Anti-Fraud plugin, Kount/NoFraud), BigCommerce, and custom headless storefronts. - Stripe Radar & 3D Secure Integration: Retrieve ML risk scores from PaymentIntents and request 3DS challenges for high-risk transactions to shift chargeback liability to the card issuer. - Velocity Checks & Review Queues: Implement Redis-based velocity limits per IP, email, and card fingerprint, plus an authorize-then-capture manual review workflow with Slack alerts and 48-hour auto-expiry. - Use Case: A store selling high-value electronics sees chargebacks climb past 0.5%. Use this Skill to enable Stripe Radar rules, add velocity checks that block cards used more than 3 times per hour, and route flagged orders into a manual review queue that holds payment capture until an analyst approves. ## Quick Start Use the fraud-detection skill to set up Stripe Radar rules and a Redis velocity check module for my WooCommerce checkout flow.
